多发性遗传性外生骨瘤累及前臂的分类:来自can研究组的共识。

IF 4.5 1区 医学 Q1 ORTHOPEDICS
Carley Vuillermin, Maria F Canizares, Patricia E Miller, Lindley B Wall, Suzanne E Steinman, Ann Van Heest
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引用次数: 0

摘要

背景:现有的多发性遗传性外植骨(MHE)前臂畸形分类显示出较低的可信度和有限的临床适用性。我们的主要研究问题是德尔菲共识过程是否可以为mhe相关前臂畸形的纵向监测产生更可靠和临床有用的分类。方法:来自先天性上肢差异(can)研究组的15名小儿手外科医生于2022年6月至2023年9月参与了7轮在线德尔菲调查。一个调查小组通过匿名反馈促进了这一过程。第1轮确定了关键的临床和放射学特征。随后的几轮检查细化了这些特征,确定了分类结构,并使用具有代表性的x线片对系统进行了试验。共识定义为≥70%的同意。在最终达成共识后,由4名独立的外科医生对67名前臂MHE患者的101张x线片进行分类,测试了相互间的可靠性。用kappa和一致性系数评估信度,并与Masada、Gottschalk和Jo分类进行比较。结果:德尔菲过程确定了影像学预测因素,包括尺骨方差、桡骨关节角(RAA)、桡骨头对齐和骨软骨瘤大小。共识倾向于三层分类:1型,轻度;2型,中度;3型是严重的。最终达成共识,93%的人同意。信度测试显示,第一读的一致性中等(kappa = 0.55),显著高于Masada (kappa = 0.21[原始分类],kappa = 0.35[修改版本]),Gottschalk (kappa = 0.43)和Jo (kappa = 0.43)分类。在纳入骨软骨瘤大小和桡骨头亚型(3A,半脱位,3B,脱位)的改进后,一致性提高到相当高(kappa = 0.64) (p < 0.001),一致性高(0.82)。结论:通过专家共识制定的can MHE分类,整合了经过验证的放射学预测指标和定义的阈值。与先前的系统相比,该系统的可靠性得到了显著提高,并为MHE患者前臂畸形的纵向监测提供了一个实用的框架。证据等级:诊断性v级。参见《作者指南》获得证据等级的完整描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification of Forearm Involvement in Multiple Hereditary Exostoses: Consensus from the CoULD Study Group.

Background: Existing classifications for forearm deformity in multiple hereditary exostoses (MHE) have demonstrated low interrater reliability and limited clinical applicability. Our primary research question was whether a Delphi consensus process could generate a more reliable and clinically useful classification for longitudinal surveillance of MHE-related forearm deformities.

Methods: Fifteen pediatric hand surgeons from the Congenital Upper Limb Difference (CoULD) Study Group participated in 7 rounds of online Delphi surveys (June 2022 to September 2023). An investigator team facilitated the process with anonymized feedback. Round 1 identified key clinical and radiographic features. Subsequent rounds refined these features, determined categorical structure, and piloted the system with representative radiographs. Consensus was defined as ≥70% agreement. After final consensus, interrater reliability was tested by 4 independent surgeons who classified 101 radiographs from 67 patients with forearm MHE. Reliability was assessed with kappa and concordance coefficients and compared with the Masada, Gottschalk, and Jo classifications.

Results: The Delphi process identified radiographic predictors that included ulnar variance, the radial articular angle (RAA), radial head alignment, and osteochondroma size. Consensus favored a 3-tier classification: Type 1, mild; Type 2, moderate; and Type 3, severe. Closing consensus was achieved, with 93% agreement. Reliability testing showed moderate agreement on the first reading (kappa = 0.55), significantly higher than for the Masada (kappa = 0.21 [original classification], kappa = 0.35 [modified version]), Gottschalk (kappa = 0.43), and Jo (kappa = 0.43) classifications. After refinement that incorporated osteochondroma size and the radial head subtypes (3A, subluxation, and 3B, dislocation), agreement improved to substantial (kappa = 0.64) (p < 0.001), with high concordance (0.82).

Conclusions: The CoULD MHE Classification, developed through expert consensus, integrates validated radiographic predictors with defined thresholds. It demonstrated significantly improved reliability over prior systems and provides a practical framework for longitudinal monitoring of forearm deformities in patients with MHE.

Level of evidence: Diagnostic Level V. See Instructions for Authors for a complete description of levels of evidence.

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来源期刊
CiteScore
8.90
自引率
7.50%
发文量
660
审稿时长
1 months
期刊介绍: The Journal of Bone & Joint Surgery (JBJS) has been the most valued source of information for orthopaedic surgeons and researchers for over 125 years and is the gold standard in peer-reviewed scientific information in the field. A core journal and essential reading for general as well as specialist orthopaedic surgeons worldwide, The Journal publishes evidence-based research to enhance the quality of care for orthopaedic patients. Standards of excellence and high quality are maintained in everything we do, from the science of the content published to the customer service we provide. JBJS is an independent, non-profit journal.
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